Other FMEA Sources
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2008
Title: Predicting uncertain behavior of industrial system using FM - A practical case
Source: APPLIED SOFT COMPUTING
Author: Sharma, RK; Kumar, D; Kumar, P
Year: 2008
Abstract: As such the reliability of system is affected by many factors such as design, manufacturing, installation, commissioning, operation and maintenance. Consequently it may be extremely difficult if not impossible to model, analyze and predict the failure behavior of system. To this effect, the authors presented a structured framework which makes use of fuzzy methodology ( FM), an approximate reasoning tool to deal with the imprecise, uncertain and subjective information related to system performance. The component related objective events are modeled with the help of the Petri net model of the system. Various parameters of managerial importance such as repair time, failure rate, mean time between failures, availability and expected number of failures are computed to quantify the uncertain behavior of system. Further, to improve upon the reliability characteristics of the system, in-depth qualitative analysis of unit is carried out using failure mode and effect analysis (FMEA) by listing all possible failure modes and their causes. A decision support system based on fuzzy set theory is developed to counter the limitations of traditional FMEA. The framework has been applied to model and analyze a real complex industrial system from paper mill. (c) 2006 Published by Elsevier B.V.
Title: Risk analysis of a biomass combustion process using MOSAR and FMEA methods
Source: JOURNAL OF HAZARDOUS MATERIALS
Author: Thivel, PX; Bultel, Y; Delpech, F
Year: 2008
Abstract: Thermal and chemical conversion processes that convert in energy the sewage sludge, pasty waste and other pre-processed waste are increasingly common, for economic and ecological reasons. Fluidized bed combustion is currently one of the most promising methods of energy conversion, since it bums biomass very efficiently, and produces only very small quantities of sulphur and nitrogen oxides. The hazards associated with biomass combustion processes are fire, explosion and poisoning from the combustion gases (CO, etc.). The risk analysis presented in this paper uses the MADS-MOSAR methodology, applied to a semi-industrial pilot scheme comprising a fluidization column, a conventional cyclone, two natural gas burners and a continuous supply of biomass. The methodology uses a generic approach, with an initial macroscopic stage where hazard sources are identified, scenarios for undesired events are recognized and ranked using a grid of Severity x Probability and safety barriers suggested. A microscopic stage then analyzes in detail the major risks identified during the first stage. This analysis may use various different tools, such as HAZOP, FMEA, etc.: our analysis is based on FMEA. Using MOSAR, we were able to identify five subsystems: the reactor (fluidized bed and centrifuge), the fuel and biomass supply lines, the operator and the environment. When we drew up scenarios based on these subsystems, we found that malfunction of the gas supply burners was a common trigger in many scenarios. Our subsequent microscopic analysis, therefore, focused on the burners, looking at the ways they failed, and at the effects and criticality of those failures (FMEA). We were, thus, able to identify a number of critical factors such as the incoming gas lines and the ignition electrode. (c) 2007 Elsevier B.V. All rights reserved.
Title: A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry
Source: EXPERT SYSTEMS WITH APPLICATIONS
Author: Su, CT; Chou, CJ
Year: 2008
Abstract: Nowadays, Six Sigma has been widely adopted in a variety of industries in the world and it has become one of the most important subjects of debate in quality management. Six Sigma is a well-structured methodology that can help a company achieve expected goal through continuous project improvement. Some challenges, however, have emerged with the execution of the Six Sigma. For examples, how are feasible projects generated? How are critical Six Sigma projects selected given the finite resources of the organization? This study aims to develop a novel approach to create critical Six Sigma projects and identify the priority of these projects. Firstly, the projects are created from two aspects, namely, organization's business strategic policies and voice of customer. Secondly, an analytic hierarchy process (AHP) model is implemented to evaluate the benefits of each project and; a hierarchical failure mode effects analysis (FMEA) is also developed to evaluate the risk of each project; and from which the priority of Six Sigma projects can be determined. Finally, based on the project benefits and risk, projects can be defined as Green Belt, Black Belt, or others types of projects. An empirical case study of semiconductor foundry will be utilized to explore the effectiveness of our proposed approach. (c) 2007 Elsevier Ltd. All rights reserved.
Title: Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches
Source: ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Author: Korayem, MH; Iravani, A
Year: 2008
Abstract: In the past few years, extending usage of robotic systems has increased the importance of robot reliability and quality. To improve the robot reliability and quality by applying standard approaches such as Failure Mode and Effect Analysis (FMEA) and Quality Function Deployment (QFD) during the design of robot is necessary. FMEA is a qualitative method which determines the critical failure modes in robot design. In this method Risk Priority Number is used to sort failures with respect to critical situation. Two examples of mechanical robots are analyzed by using this method and critical failure modes are determined for each robot. Corrective actions are proposed for critical items to modify robots reliability and reduce their risks. Finally by using QFD, quality of these robots is improved according to the customers' requirements. In this method by making four matrixes, optimum values for all technical parameters are determined and the final product has the desired quality. (C) 2007 Elsevier Ltd. All rights reserved.
Title: Detailed risk analysis for failure prevention in conceptual design: Red (risk in early design) based probabilistic risk assessments
Source: 19TH INTERNATIONAL CONFERENCE ON DESIGN THEORY AND METHODOLOGY/1ST INTERNATIONAL CONFERENCE ON MICRO AND NANO SYSTEMS, VOL 3, PART A AND B
Author: Lough, KG
Year: 2008
Abstract: Avoiding product recalls and failures is a must for companies to remain successful in the consumer product industry. Large numbers of failed products result in significant profit losses do to repair or replacement costs as well as untraceable costs of reputation damage among customer bases. Probabilistic risk assessment (PRA) is key to preventing product failures. When risks are adequately identified and assessed the potential product failures can be mitigated and save lives as well as company profit. Risk mitigation is more effective the earlier it can be applied in the design process; therefore, the identification and assessment of risk through PRA techniques is most beneficial to the company when employed early in the design process. This paper presents new techniques for performing four common PRAs, preliminary hazards analysis (PHA), failure mode and effect analysis (FMEA), fault tree analysis (FTA), and event tree analysis (ETA), during the conceptual phase of design, when products have yet to assume a physical form. The backbone for the application of these PRA techniques during the conceptual design phase is the Risk in Early Design (RED) Method. RED generates a listing of potential product risk based on historical failure occurrences. These risks are categorized by function, which enables this preliminary risk assessment to be performed during conceptual design. A risk analysis is performed for a bicycle that demonstrates the powerful failure prevention ability of RED and PRA during conceptual product design with a Consumer Product Safety Commission recall.
Title: Quality and reliability facilitator - FMEA
Source: IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
Author: Gollomp, B
Year: 2008
Abstract:
Title: Software architecture reliability analysis using failure scenarios
Source: JOURNAL OF SYSTEMS AND SOFTWARE
Author: Tekinerdogan, B; Scizer, H; Aksit, M
Year: 2008
Abstract: With the increasing size and complexity of software in embedded systems, software has now become a primary threat for the reliability. Several mature conventional reliability engineering techniques exist in literature but traditionally these have primarily addressed failures in hardware components and usually assume the availability of a running system. Software architecture analysis methods aim to analyze the quality of software-intensive system early at the software architecture design level and before a system is implemented. We propose a Software Architecture Reliability Analysis Approach (SARAH) that benefits from mature reliability engineering techniques and scenario-based software architecture analysis to provide an early software reliability analysis at the architecture design level. SARAH defines the notion of failure scenario model that is based on the Failure Modes and Effects Analysis method (FMEA) in the reliability engineering domain. The failure scenario model is applied to represent so-called failure scenarios that are utilized to derive fault tree sets (FTS). Fault tree sets are utilized to provide a severity analysis for the overall software architecture and the individual architectural elements. Despite conventional reliability analysis techniques which prioritize failures based on criteria such as safety concerns, in SARAH failure scenarios are prioritized based on severity from the end-user perspective. SARAH results in a failure analysis report that can be utilized to identify architectural tactics for improving the reliability of the software architecture. The approach is illustrated using an industrial case for analyzing reliability of the software architecture of the next release of a Digital TV. (c) 2007 Elsevier Inc. All rights reserved.
Title: Fuzzy modeling of system behavior for risk and reliability analysis
Source: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Author: Sharma, RK; Kumar, D; Kumar, P
Year: 2008
Abstract: The main objective of the article is to permit the reliability analyst's/engineers/managers/practitioners to analyze the failure behavior of a system in a more consistent and logical manner. To this effect, the authors propose a methodological and structured framework, which makes use of both qualitative and quantitative techniques for risk and reliability analysis of the system. The framework has been applied to model and analyze a complex industrial system from a paper mill. In the quantitative framework, after developing the Petrinet model of the system, the fuzzy synthesis of failure and repair data (using fuzzy arithmetic operations) has been done. Various system parameters of managerial importance such as repair time, failure rate, mean time between failures, availability, and expected number of failures are computed to quantify the behavior in terms of fuzzy, crisp and defuzzified values. Further, to improve upon the reliability and maintainability characteristics of the system, in depth qualitative analysis of systems is carried out using failure mode and effect analysis (FMEA) by listing out all possible failure modes, their causes and effect on system performance. To address the limitations of traditional FMEA method based on risky priority number score, a risk ranking approach based on fuzzy and Grey relational analysis is proposed to prioritize failure causes.
Title: Service-life assessment of building components: application of evidence theory
Source: CANADIAN JOURNAL OF CIVIL ENGINEERING
Author: Talon, A; Boissier, D; Lair, J
Year: 2008
Abstract: This paper deals with the assessment of the service life of in-service building components subjected to known environmental and usage conditions. This assessment is complex because of two primary features. First, the assessment has to be carried within a multiscale context: a geometric scale that ranges from the material or elemental to building scale; a range in the complexity of the degradation (phenomena that varies from a single phenomenon to the consideration of several degradation scenarios); a range of possible performance requirements, from one function to several; and consideration, as well, to the time over which the process is carried out that may span from the design stage to that of management and repair. Second, this assessment must also take into consideration the availability and features of service-life data that by nature is heterogeneous, imprecise, uncertain, and incomplete. In this context, a comprehensive methodology is developed using all available data on service life derived from existing methods of service-life assessment of materials, elements or building components. Such data may, for example, be extracted from fundamental studies on durability, accelerated short-term exposure tests, statistical methods, factorial methods, feedback from practice, or expert opinion or other sources. The main stages of this methodology are: (i) identification of all possible degradation scenarios provided by failure mode and effects analysis (FMEA); (ii) collection of all available service-life data (SL-data) associated with these degradation scenarios, transformation of this data into a fuzzy-set format, and assessment of its quality; (iii) processing of unification of data and aggregation of data; and (iv) assessment of the service life of building components. The case study of a window unit allows for: (i) service-life assessment of a building component to be processed by unification of data and aggregation of data and (ii) a conclusion to be deduced.
Title: Analysis and evaluation of reliability of diesel engine based on maintenance records
Source: DETC2007: PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNOLOGY CONFERENCE AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 4
Author: Liu, Y; Huang, HZ; Miao, Q; Zuo, MJ
Year: 2008
Abstract: Evaluating reliability and finding the critical components of a diesel engine system is a very important process in quality improvement and new product design. In this paper, a series of reliability indexes were applied in diesel engine reliability evaluation based on maintenance records. Several methods including life cycle distribution and FMEA (Failure Mode and Effects Analysis) were also presented. At the end, a diesel engine (Model 6108ZQ) was used as a case study.
Title: Making design reviews count
Source: DETC2007: PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNOLOGY CONFERENCE AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 4
Author: Belter, KA; Ishii, K; Karandikar, H
Year: 2008
Abstract: Design reviews are one of the most established product-development project management techniques to identify and eliminate errors in product design before they physically manifest themselves either in a prototype or in the final product. Design reviews are typically embedded within an overall product-development project management process consisting of multiple stages separated by decision gates. The specific goal, structure and content of a design review depend upon the stage and time at which it is performed. In the process of working with a number of large companies on their technology and product development processes we observed that the actual practice of design reviews often falls well short of the companies' own stated objectives. We examine the reasons for this in our paper, the chief among them being the often misleading application and lack of clarity and brevity in the review process. These problems can be clearly highlighted and rectified by the application of the CVCA and FMEA tools to the design review process itself. Thus, design reviews can be made more efficient and effective and made to count!
Title: Development of a fuzzy FMEA based product design system
Source: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Author: Chin, KS; Chan, A; Yang, JB
Year: 2008
Abstract: The demand for high-quality and low-cost products with short development time in the dynamic global market has forced researchers and industries to focus on various effective product development strategies. The authors are carrying out research studies to explore the applicability of fuzzy logic and knowledge-based systems technologies to today's competitive product design and development, with an emphasis on the design of high quality products at the conceptual design stage. A framework of a fuzzy FMEA (failure modes and rffects analysis) based evaluation approach for new product concepts is proposed in this paper. Based on the proposed approach and methodologies, a prototype system named EPDS-1, which can assist inexperienced users to perform FMEA analysis for quality and reliability improvement, alternative design evaluation, materials selection, and cost assessment, thus helping to enhance robustness of new products at the conceptual design stage. This paper presents the underlying concepts of the development and shows the practical application with the prototype system with a case study.
Title: Empirical relationships between some manufacturing practices and performance
Source: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Author: Karim, MA; Smith, AJR; Halgamuge, S
Year: 2008
Abstract: Intense global competition, rapid technological changes, advances in manufacturing and information technology and discerning customers are forcing manufacturers to adopt manufacturing practices and competitive priorities that enable them to deliver high quality products in a short period of time. Identifying manufacturers' competitive priorities and effective manufacturing practices has long been considered one of the key elements in manufacturing strategy research. This paper presents the results of a study conducted to identify some of the effective manufacturing practices that have a significant influence on manufacturing performance. This study also identifies the main competitive objectives of manufacturing industries that participated in the study. The results reported in this paper are based on data collected from a survey using a standard questionnaire administered to 1000 manufacturers in Australia. Evidence indicates that product quality and reliability are the main competitive factors for manufacturers and price has become surprisingly a relatively less important factor. Results show that simultaneous pursuit of advanced quality practices can neutralize the potential negative impacts of manufacturing difficulties and significantly improve product quality and manufacturing performance. Failure mode and effect analysis (FMEA) is shown to be an important tool for improving product quality and on time delivery performance. FMEA practice driven by the intention to improve customer satisfaction is more effective than that practised to fulfil customer requirements. Effective supplier relationships are shown to contribute positively to the manufacturing performance. The results also suggest that maintaining a supplier rating system and product data management and regularly updating them with field failure and warranty data are important manufacturing practices.
Title: A method for evaluating quality assurance needs in radiation therapy
Source: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Author: Huq, MS; Fraass, BA; Dunscombe, PB; Gibbons, JP; Ibbott, GS; Medin, PM; Mundt, A; Mutic, S; Palta, JR; Thomadsen, BR; Williamson, JF; Yorke, ED
Year: 2008
Abstract: The increasing complexity of modern radiation therapy planning and delivery techniques challenges traditional prescriptive quality control and quality assurance programs that ensure safety and reliability of treatment planning and delivery systems under all clinical scenarios. Until now quality management (QM) guidelines published by concerned organizations (e.g., American Association of Physicists in Medicine [AAPM], European Society for Therapeutic Radiology and Oncology [ESTRO], International Atomic Energy Agency [IAEA]) have focused on monitoring functional performance of radiotherapy equipment by measurable parameters, with tolerances set at strict but achievable values. In the modern environment, however, the number and sophistication of possible tests and measurements have increased dramatically. There is a need to prioritize QM activities in a way that will strike a balance between being reasonably achievable and optimally beneficial to patients. A systematic understanding of possible errors over the course of a radiation therapy treatment and the potential clinical impact of each is needed to direct limited resources in such a way to produce maximal benefit to the quality of patient care. Task Group 100 of the AAPM has taken a broad view of these issues and is developing a framework for designing QM activities, and hence allocating resources, based on estimates of clinical outcome, risk assessment, and failure modes. The report will provide guidelines on risk assessment approaches with emphasis on failure mode and effect analysis (FMEA) and an achievable QM program based on risk analysis. Examples of FMEA to intensity-modulated radiation therapy and high-dose-rate brachytherapy are presented. Recommendations on how to apply this new approach to individual clinics and further research and development will also be discussed. (c) 2008 Elsevier Inc.
Title: Tools for developing a quality management program: Proactive tools (process mapping, value stream mapping, fault tree analysis, and failure mode and effects analysis)
Source: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Author: Rath, F
Year: 2008
Abstract: This article examines the concepts of quality management (QM) and quality assurance (QA), as well as the current state of QM and QA practices in radiotherapy. A systematic approach incorporating a series of industrial engineering-based tools is proposed, which can be applied in health care organizations proactively to improve process outcomes, reduce risk and/or improve patient safety, improve through-put, and reduce cost. This tool set includes process mapping and process flowcharting, failure modes and effects analysis (FMEA), value stream mapping, and fault tree analysis (FTA). Many health care organizations do not have experience in applying these tools and therefore do not understand how and when to use them. As a result there are many misconceptions about how to use these tools, and they are often incorrectly applied. This article describes these industrial engineering-based tools and also how to use them, when they should be used (and not used), and the intended purposes for their use. In addition the strengths and weaknesses of each of these tools are described, and examples are given to demonstrate the application of these tools in health care settings. (c) 2008 Elsevier Inc.
Title: Reliability analysis of water mist systems
Source: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2007, VOL 14
Author: Xu, SZ; Susemihl, EA
Year: 2008
Abstract: This paper presents some preliminary results from a reliability study of water mist systems conducted at FM Global. The study includes a detailed Failure Modes and Effects Analysis (FMEA) to identify all the major potential failure modes, which include demand, quiescent and operational failures. Various fault trees are thus constructed for the typical water mist system configurations to evaluate the failure probabilities. However, due to the short history of industrial application of water mist systems, no specific reliability data are available. Therefore, in the calculation of system failure probability, the component failure data are obtained from other applications. The failure probabilities and the confidence bounds of the typical water mist systems listed in the Standard 750 of the National Fire Protection Association are compared in the paper. The major failure modes identified through an importance analysis are also presented.
Title: Prospective system assessment used to enhance patient safety case studies from a collbaoration of enginners and hospitals in Southwest Washington State
Source: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2007, VOL 14
Author: Coles, GA
Year: 2008
Abstract: It is no secret that healthcare, in general, has become art increasingly complicated mixture of technical systems complex processes and intricate skilled human interactions, Patient care processes have followed this same trend. The healthcare Industry, itself. has acknowledged that it is fraught with high-risk and error prone processes and cite medication management systems. invasive procedures and diagnostic methods. Complexity represents opportunity for unanticipated events, process failures and undesirabic outcomes. Traditionally a patierit care process fails, accountability was focused on the individual clinician error. However increasing, healthcare is following the lead of other high-risk industries (e.g, chemical, aerospace. nuclear, etc.) that attention to the characteristics the overall system that contribute to the failure. The focus has shifted to identification of systematic weaknesses and vulnerabilities. Increasing the healthcare industry is using prospective system assessment methods to evaluate the hi-h-risk systems and processes. This paper describes results of collaboration between engineers and community hospitals in Southwest Washington State between 2002 and 2007, in applying prospective system assessment methods to a range of the high-risk healthcare systems and processes. The methods used are Failure Mode Effects and Criticality Analysis and Probabilistic Risk Assessment. The two case studies presented are: 1) an hospital,hospital FMEA oil patient transfer and 2) a risk assessment of mental health patients Who present themselves in a hospital Emergency Department.
Title: A framework for capturing and analyzing the failures due to system/component interactions
Source: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Author: Nepal, BP; Yadav, OP; Monplaisir, L; Murat, A
Year: 2008
Abstract: To keep up with the speed of globalization and growing customer demands for more technology-oriented products, modern systems are becoming increasingly more complex. This complexity gives rise to unpredictable failure patterns. While there are a number of well-established failure analysis (physics-of-failure) models for individual components, these models do not hold good for complex systems as their failure behaviors may be totally different. Failure analysis of individual components does consider the environmental interactions but is unable to capture the system interaction effects on failure behavior. These models are based on the assumption of independent failure mechanisms. Dependency relationships and interactions of components in a complex system might give rise to some new types of failures that are not considered during the individual failure analysis of that component. This paper presents a general framework for failure modes and effects analysis (FMEA) to capture and analyze component interaction failures. The advantage of the proposed methodology is that it identifies and analyzes the system failure modes due to the interaction between the components. An example is presented to demonstrate the application of the proposed framework for a specific product architecture (PA) that captures interaction failures between different modules. However, the proposed framework is generic and can also be used in other types of PA. Copyright (C) 2007 John Wiley & Sons, Ltd.
Title: Application of ISO 22000 and failure mode and effect analysis (FMEA) for industrial processing of salmon: A case study
Source: CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
Author: Arvanitoyannis, IS; Varzakas, TH
Year: 2008
Abstract: The Failure Mode and Effect Analysis (FMEA) model was applied for risk assessment of salmon manufacturing. A tentative approach of FMEA application to the salmon industry was attempted in conjunction with ISO 22000. Preliminary Hazard Analysis was used to analyze and predict the occurring failure modes in a food chain system (salmon processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points were identified and implemented in the cause and effect diagram (also known as Ishikawa, tree diagram and fishbone diagram). In this work, a comparison of ISO 22000 analysis with HACCP is carried out over salmon processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the RPN per identified processing hazard. Fish receiving, casing/marking, blood removal, evisceration, filet-making cooling/freezing, and distribution were the processes identified as the ones with the highest RPN (252, 240, 210, 210, 210, 210, 200 respectively) and corrective actions were undertaken. After the application of corrective actions, a second calculation of RPN values was carried out resulting in substantially lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO 22000 system of a salmon processing industry is anticipated to prove advantageous to industrialists, state food inspectors, and consumers.
Title: A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies
Source: ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Author: Ahnannai, B; Greenough, R; Kay, J
Year: 2008
Abstract: With the advent of the new challenge to design a more lean and responsive computer-integrated manufacturing system, firms have been striving to achieve a coherent interaction between technology, organisation, and people to meet this challenge. This paper describes an integrated approach developed for supporting management in addressing technology, organisation, and people at the earliest stages of manufacturing automation decision-making. The approach uses both the quality function deployment (QFD) technique and the failure mode and effects analysis (FMEA) technique. The principal concepts of both applications are merged together to form a decision tool; QFD in its ability to identify the most suitable manufacturing automation alternative and FMEA in its ability to identify the associated risk with that option to be addressed in the manufacturing system design and implementation phases. In addition, this paper presents the results of a practical evaluation conducted in industry. (C) 2007 Elsevier Ltd. All rights reserved.
Title: Failure mechanisms of legacy aircraft wiring and interconnects
Source: IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
Author: Moffat, BG; Abraham, E; Desmulliez, MPY; Koltsov, D; Richardson, A
Year: 2008
Abstract: This paper presents a comprehensive list of the causes and modes of failure and ageing in legacy aircraft wiring and interconnects. Taxonomies of the electrical, mechanical, chemical and thermal stresses that contribute to the various stages of ageing and/or failure are presented. A Failure Modes Effects and Analysis (FMEA) is conducted to categorize the most serious failures. The order of severity in the FMEA is backed up by maintenance data gathered by the Royal Air Force (RAF) base Brize Norton during routine inspection.
Title: The role of software failure modes and effects analysis for interfaces in safety- and mission-critical systems
Source: 2008 2ND ANNUAL IEEE SYSTEMS CONFERENCE
Author: Ozarin, N
Year: 2008
Abstract: Complex systems are often developed by independent design teams whose boundaries are defined by interface design documents. Software interface documents, in particular, can be incomplete and ambiguous without anyone realizing it. Such weaknesses can lead to inadequate and incomplete testing prior to system integration prolonged integration problems, and expensive last-minute design changes. Additionally, interface design problems may result in system-level performance issues and inadequate robustness. An important line of defense against interface errors and ambiguities in a safety- or mission-critical system is a software failure mode and effects analysis (SFMEA). This paper explains SFMEA and its use to help identify and correct interface problems.
Title: Tool support for incremental Failure Mode and Effects Analysis of component-based systems
Source: 2008 DESIGN, AUTOMATION AND TEST IN EUROPE, VOLS 1-3
Author: Elmqvist, J; Nadjm-Tehrani, S
Year: 2008
Abstract: Failure Mode and Effects Analysis (FMEA) is a well-known technique widely used for safety assessment in the area of safety-critical systems. However FMEA is traditionally done manually which makes it both time-consuming and costly, specially for large and complex systems. Also, small modifications in the design may result in a complete revision of the initial FMEA. This paper presents a tool support for automated incremental component-based FMEA of SW and HW. It is based on component safety interfaces and a formal compositional safety analysis method. This tool support enables engineers to focus on more important steps in the safety assessment process. Also, during system upgrades, the tool incrementally registers the changes and identifies possible effects in the FMEA which enables the use of earlier safety analysis results. Finally, this formal approach based on design models of the components and the system always creates FMEAs which are consistent with the system design.
Title: A new quantitative method for the rapid evaluation of buildings against earthquakes
Source: 2008 SEISMIC ENGINEERING CONFERENCE COMMEMORATING THE 1908 MESSINA AND REGGIO CALABRIA EARTHQUAKE, PARTS 1 AND 2
Author: Mahmoodzadeh, A; Mazaheri, MM
Year: 2008
Abstract: At the present time there exist numerous weak buildings which are not able to withstand earthquakes. At the same time, both private and public developers are trying to use scientific methods to prioritize and allocate budget in order to reinforce the above mentioned structures. This is because of the limited financial resources and time. In the recent years the procedure of seismic assessment before rehabilitation of vulnerable buildings has been implemented in many countries. Now, it seems logical to reinforce the existing procedures with the mass of available data about the effects caused by earthquakes on buildings. The main idea is driven from FMEA (Failure Mode and Effect Analysis) in quality management where the main procedure is to recognize the failure, the causes, and the priority of each cause and failure. Specifying the causes and effects which lead to a certain shortcoming in structural behavior during earthquakes, an inventory is developed and each building is rated through a yes-or-no procedure. In this way, the rating of the structure is based on some standard forms which along with relative weights are developed in this study. The resulted criteria by rapid assessment will indicate whether the structure is to be demolished, has a high, medium or low vulnerability or is invulnerable.
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